ppt1
... The problem The considerable amount of multimedia database requires sophisticated indices for its effective use. Manual indexing is the most effective method to do this, but it is also the lowest and the most expensive. Automated methods have to be developed. Michela Lecca - TeV ...
... The problem The considerable amount of multimedia database requires sophisticated indices for its effective use. Manual indexing is the most effective method to do this, but it is also the lowest and the most expensive. Automated methods have to be developed. Michela Lecca - TeV ...
Blood vessel segmentation for neck and head computed tomography angiography Anders Hedblom
... The two approaches being closest to accomplish this are a bone subtracting registration process, and a more advanced region growing combined with morphology. The results hint that the former approach does not give segmentations that are good enough to fit this task with todays hardware. The latter m ...
... The two approaches being closest to accomplish this are a bone subtracting registration process, and a more advanced region growing combined with morphology. The results hint that the former approach does not give segmentations that are good enough to fit this task with todays hardware. The latter m ...
IMAGE ACQUISITION
... In 1994, at the Radiological Society of North America (RSNA) Meeting, a variety of imaging vendors participated in an impressive demonstration of the new and evolving imaging standard (ACR-NEMA 3.0) or what is currently known as the DICOM standard. Participants attached their devices to a common net ...
... In 1994, at the Radiological Society of North America (RSNA) Meeting, a variety of imaging vendors participated in an impressive demonstration of the new and evolving imaging standard (ACR-NEMA 3.0) or what is currently known as the DICOM standard. Participants attached their devices to a common net ...
Geometric Modeling in Graphics
... https://www.ics.uci.edu/~eppstein/pubs/BerEpp-CEG95.pdf Introducing two criteria for triangle grading ...
... https://www.ics.uci.edu/~eppstein/pubs/BerEpp-CEG95.pdf Introducing two criteria for triangle grading ...
Toolkit and Peers
... Each GUI component that AWT provides has a peer. The peer is the implementation of that component in the native environment. For example, the Choice component in AWT corresponds to some native object that lets the user select one or more items from a list. As a Java developer, you need to worry only ...
... Each GUI component that AWT provides has a peer. The peer is the implementation of that component in the native environment. For example, the Choice component in AWT corresponds to some native object that lets the user select one or more items from a list. As a Java developer, you need to worry only ...
RTS Noise and Dark Current White Defects Reduction Using
... the aperture should increase. However, in fact, it is not easy to realize a compact and fast lens with a high spatial resolution. Another way to increase the SNR is to increase the pixel area. When the field of view is fixed, this option requires a larger image circle, which does not mean to require ...
... the aperture should increase. However, in fact, it is not easy to realize a compact and fast lens with a high spatial resolution. Another way to increase the SNR is to increase the pixel area. When the field of view is fixed, this option requires a larger image circle, which does not mean to require ...
Four-Face Cluster Simplification
... Note that, the above simplification algorithm, actually generates a hierarchy of meshes of decreasing size, (M 0 ; : : : ; M n ), since it start with an initial mesh M 0 , and at each iteration a simpler mesh M j is produced. Simplification algorithms can be classified according to how they implemen ...
... Note that, the above simplification algorithm, actually generates a hierarchy of meshes of decreasing size, (M 0 ; : : : ; M n ), since it start with an initial mesh M 0 , and at each iteration a simpler mesh M j is produced. Simplification algorithms can be classified according to how they implemen ...
Lab worksheet 5 – Retrieval and Classification
... process? Alternatively, what features are important for recognition? We often talk about colour, shape, and texture information being important visual cues for recognition. Here we focus on using colour information to represent image content. Feature vector representation: Objects may be compared fo ...
... process? Alternatively, what features are important for recognition? We often talk about colour, shape, and texture information being important visual cues for recognition. Here we focus on using colour information to represent image content. Feature vector representation: Objects may be compared fo ...
Lecture 29
... • Animatek’s Caviar player, which provides interactive frame rates for surface voxel models on a Pentium class PC • Levoy and Whitted use points to model objects for the special case of ...
... • Animatek’s Caviar player, which provides interactive frame rates for surface voxel models on a Pentium class PC • Levoy and Whitted use points to model objects for the special case of ...
A Method for Modeling Noise in Medical Images
... Several methods for estimating the variance of white additive noise in images have been proposed [1] but they cannot be used on images where the relationship (1) applies since the noise variance on them is nonuniform. The method presented here is more general and measures the noise variance in smoot ...
... Several methods for estimating the variance of white additive noise in images have been proposed [1] but they cannot be used on images where the relationship (1) applies since the noise variance on them is nonuniform. The method presented here is more general and measures the noise variance in smoot ...
Analytic Approximations for Real-Time Area Light
... the specular term integration to a many point lights calculation. Clustering methods [8] have been proposed to further reduce the algorithm complexity of VPLs with successful application in real-time rendering [9], [10]. However, these solutions are usually restricted to low frequency illumination p ...
... the specular term integration to a many point lights calculation. Clustering methods [8] have been proposed to further reduce the algorithm complexity of VPLs with successful application in real-time rendering [9], [10]. However, these solutions are usually restricted to low frequency illumination p ...
Fundamentals of Multimedia, Chapter 18
... – Prior to the classification of feature tiles, image pixels are classified as having either dominant color or transitional color. – Dominant colors: pixel colors that do not lie on a slope of color change in their pixel neighborhood. Transitional colors do. – Enhancing the uniformity of the dominan ...
... – Prior to the classification of feature tiles, image pixels are classified as having either dominant color or transitional color. – Dominant colors: pixel colors that do not lie on a slope of color change in their pixel neighborhood. Transitional colors do. – Enhancing the uniformity of the dominan ...
BT.1438 - Subjective assessment of stereoscopic television pictures
... Two major factors peculiar to stereoscopic display should be taken into consideration, namely the display frame effect and inconsistency between accommodation and convergence. Stereoscopic pictures appear highly unnatural when objects positioned in front of the screen approach the screen frame. This ...
... Two major factors peculiar to stereoscopic display should be taken into consideration, namely the display frame effect and inconsistency between accommodation and convergence. Stereoscopic pictures appear highly unnatural when objects positioned in front of the screen approach the screen frame. This ...
Edge detection
Edge detection is the name for a set of mathematical methods which aim at identifying points in a digital image at which the image brightness changes sharply or, more formally, has discontinuities. The points at which image brightness changes sharply are typically organized into a set of curved line segments termed edges. The same problem of finding discontinuities in 1D signals is known as step detection and the problem of finding signal discontinuities over time is known as change detection. Edge detection is a fundamental tool in image processing, machine vision and computer vision, particularly in the areas of feature detection and feature extraction.